Functions for the implementation of Independent Multiple-sample
Greedy Equivalence Search (IMaGES), a causal inference algorithm for creating
aggregate graphs and structural equation modeling data for one or more
datasets. This package is useful for time series data with specific regions of
interest. This implementation is inspired by the paper "Six problems
for causal inference from fMRI" by Ramsey, Hanson, Hanson, Halchenko, Poldrack,
and Glymour (2010) <doi:10.1016/j.neuroimage.2009.08.065>. The IMaGES algorithm uses a modified BIC score to compute goodness
of fit of edge additions, subtractions, and turns across all datasets and
returns a representative graph, along with structural equation modeling data for
the global graph and individual datasets, means, and standard errors. Functions
for plotting the resulting graph(s) are provided. This package is built upon the
'pcalg' package.